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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Archival photogrammetric analysis of river-floodplain systems using Structure from Motion (SfM) methods
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Archival photogrammetric analysis of river-floodplain systems using Structure from Motion (SfM) methods

机译：使用运动结构（SFM）方法的河洪水系统档案摄影分析

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摘要

In this study we evaluate the extent to which accurate topographic data can be obtained by applying Structure from Motion (SfM) photogrammetric methods to archival imagery. While SfM has proven valuable in photogrammetric applications using specially acquired imagery (e.g. from unmanned aerial vehicles), it also has the potential to improve the precision of topographic data and the ease with which can be produced from historical imagery. We evaluate the application of SfM to a relatively extreme case, one of low relative relief: a braided river-floodplain system. We compared the bundle adjustments of SfM and classical photogrammetric methods, applied to eight dates. The SfM approach resulted in data quality similar to the classical approach, although the lens parameter values (e.g. focal length) recovered in the SfM process were not necessarily the same as their calibrated equivalents. Analysis showed that image texture and image overlap/configuration were critical drivers in the tie-point generation which impacted bundle adjustment quality. Working with archival imagery also illustrated the general need for the thorough understanding and careful application of (commercial) SfM software packages. As with classical methods, the propagation of (random) error in the estimation of lens and exterior orientation parameters using SfM methods may lead to inherent systematic error in the derived point clouds. We have shown that linear errors may be accounted for by point cloud registration based on a reference dataset, which is vital for the further application in quantitative morphological analyses when using archival imagery. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译：在本研究中，我们评估通过将结构从运动（SFM）摄影测量方法应用于档案图像来获得精确地形数据的程度。虽然SFM已经证明了使用专门获得的图像（例如从无人机航空车辆）的摄影测量应用程序中有价值的，但它还具有提高地形数据的精度以及可以从历史图像中产生的简化量。我们评估SFM在相对极端情况下的应用，其中一个相对释放：编织河泛洪叶系统。我们比较了SFM和经典摄影测量方法的捆绑调整，应用于八个日期。 SFM方法导致数据质量类似于经典方法，尽管在SFM过程中恢复的镜头参数值（例如焦距）不一定与其校准的等同物相同。分析表明，图像纹理和图像重叠/配置是连接束调节质量的连接点的关键驱动因素。使用档案图像还说明了彻底了解（商业）SFM软件包的彻底了解和仔细应用。与经典方法一样，使用SFM方法估计镜头和外部方向参数估计中的（随机）误差可能导致导出点云中固有的系统误差。我们已经示出了基于参考数据集的点云登记可以考虑线性误差，这对于使用档案图像时的定量形态分析的进一步应用至关重要。版权所有（c）2016 John Wiley＆Sons，Ltd。

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